粘弹性
有限元法
材料科学
脑组织
非线性系统
多孔介质
本构方程
缩进
放松(心理学)
生物系统
生物医学工程
计算机科学
多孔性
复合材料
结构工程
物理
工程类
心理学
社会心理学
生物
量子力学
作者
Manuel P. Kainz,Alexander Greiner,Jan Hinrichsen,Dagmar Kolb,Ester Comellas,Paul Steinmann,Silvia Budday,Michele Terzano,Gerhard Holzapfel
标识
DOI:10.3389/fbioe.2023.1143304
摘要
Understanding and characterizing the mechanical and structural properties of brain tissue is essential for developing and calibrating reliable material models. Based on the Theory of Porous Media, a novel nonlinear poro-viscoelastic computational model was recently proposed to describe the mechanical response of the tissue under different loading conditions. The model contains parameters related to the time-dependent behavior arising from both the viscoelastic relaxation of the solid matrix and its interaction with the fluid phase. This study focuses on the characterization of these parameters through indentation experiments on a tailor-made polyvinyl alcohol-based hydrogel mimicking brain tissue. The material behavior is adjusted to ex vivo porcine brain tissue. An inverse parameter identification scheme using a trust region reflective algorithm is introduced and applied to match experimental data obtained from the indentation with the proposed computational model. By minimizing the error between experimental values and finite element simulation results, the optimal constitutive model parameters of the brain tissue-mimicking hydrogel are extracted. Finally, the model is validated using the derived material parameters in a finite element simulation.
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